IoT and ML Solution to Allergic Rhinitis

Abstract

In this project a preventive rehabilitation is proposed for allergy patients using neural networks, IoT and the newly emerged blockchain technology. A wearable device which senses temperature, humidity and the AQI of the patients surroundings continuously keeps track of these parameters and through cloud computing the chances of an allergy to happen is predicted and the output is then sent back to the device, which in turn either warns the user for an allergy to occur. A mobile connected with the device is used for giving the warning to the user coming from the prediction model. Also in this project there is an attempt to include the blockchain technology for tracing back the cause of the allergy that occurred to solve the problem of not knowing the causing factors of the allergy, thereby aiding allergy patients to recognise the allergens that they need to be careful from. This project tries to solve problems of allergy patients of not being able to recognize the allergy causing weather conditions and food, it tries to remove the patient’s disability to predict an allergy (as these allergens can be very small and unnoticeable by the naked eye), with the help of a neural network which predicts the presence of allergy causing allergens using the meteorological parameters.